Poster presentation: The segmentation method for the boundary detection of lesion area using a levelset method based on real-coded genetic algorithm (MEとバイオサイバネティックス) The Segmentation Method for the Boundary Detection of Lesion Area Using a Levelset Method based on Real-Coded Genetic Algorithm

Abstract

When the doctor does diagnosis, the quality of ultrasound images is poor to recognize the lesion area because of effects on poor contrast, blurred edges, etc. The purpose is to reduce noises and edge detection in ultrasound image. In this paper, the border curve in edge segmentation is represented by using the level set method to detect the tumor region of human liver on the ultrasound image. We preprocessed the image by using a real-coded genetic algorithm (RCGA) based on speckle reducing anisotropic diffusion (SRAD). As the result, we confirm to get the dominant segmented image which has more distinctive and smooth character than images which are used previously.

Journal

IEICE technical report. ME and bio cybernetics   [List of Volumes]

IEICE technical report. ME and bio cybernetics 107(460), 63-66, 2008-01-18  [Table of Contents]

The Institute of Electronics, Information and Communication Engineers

References:  30

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Codes

  • NII Article ID (NAID) :
    110006623838
  • NII NACSIS-CAT ID (NCID) :
    AN1001320X
  • Text Lang :
    ENG
  • Article Type :
    REV
  • ISSN :
    09135685
  • NDL Article ID :
    9376604
  • NDL Source Classification :
    ZN33(科学技術--電気工学・電気機械工業--電子工学・電気通信)
  • NDL Call No. :
    Z16-940
  • Databases :
    CJP  NDL  NII-ELS 

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